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EnglishA novel approach is proposed to group redundant time series in the frame of causality. It assumes that (i) the dynamics of the system can be described using just a small number of characteristic modes, and that (ii) a pairwise measure of redundancy is sufficient to elicit the presence of correlated degrees of freedom. We show the application of the proposed approach on fMRI data from a resting human brain and gene expression profiles from HeLa cell culture.
Grouping time series by pairwise measures of redundancy / D. MARINAZZO; W.LIAO; M.PELLICORO; STRAMAGLIA S. - In: PHYSICS LETTERS A. - ISSN 0375-9601. - 374(2010), pp. 4040-4044.
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| Titolo: | Grouping time series by pairwise measures of redundancy |
| Autori: | |
| Data di pubblicazione: | 2010 |
| Rivista: | |
| Citazione: | Grouping time series by pairwise measures of redundancy / D. MARINAZZO; W.LIAO; M.PELLICORO; STRAMAGLIA S. - In: PHYSICS LETTERS A. - ISSN 0375-9601. - 374(2010), pp. 4040-4044. |
| Abstract: | A novel approach is proposed to group redundant time series in the frame of causality. It assumes that (i) the dynamics of the system can be described using just a small number of characteristic modes, and that (ii) a pairwise measure of redundancy is sufficient to elicit the presence of correlated degrees of freedom. We show the application of the proposed approach on fMRI data from a resting human brain and gene expression profiles from HeLa cell culture. |
| Handle: | http://hdl.handle.net/11586/17531 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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